Using a portable hydrogen cyanide gas meter to uncover a dynamic phytochemical landscape.

Published in: Applications in plant sciences (2020)

These methods produced well-defined data with minimal error. Results illustrated a one to four order-of-magnitude variation at organizational levels ranging from individual leaves to the entire Passiflora community. We now have a promising tool for uncovering the HCN phytochemical landscape in unprecedented detail.

Keyphrases

single cell
healthcare
mental health
electronic health record
big data
fluorescent probe
low cost
machine learning
data analysis
essential oil
deep learning
artificial intelligence